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Incorporation of Statistical Data Quality Information into the GstLAL Search Analysis

Authors :
Godwin, Patrick
Essick, Reed
Hanna, Chad
Cannon, Kipp
Caudill, Sarah
Chan, Chiwai
Creighton, Jolien D. E.
Fong, Heather
Katsavounidis, Erik
Magee, Ryan
Meacher, Duncan
Messick, Cody
Morisaki, Soichiro
Mukherjee, Debnandini
Ohta, Hiroaki
Pace, Alexander
de Ruiter, Iris
Sachdev, Surabhi
Tsukada, Leo
Tsutsui, Takuya
Ueno, Koh
Wade, Leslie
Wade, Madeline
Publication Year :
2020

Abstract

We present updates to GstLAL, a matched filter gravitational-wave search pipeline, in Advanced LIGO and Virgo's third observing run. We discuss the incorporation of statistical data quality information into GstLAL's multi-dimensional likelihood ratio ranking statistic and additional improvements to search for gravitational wave candidates found in only one detector. Statistical data quality information is provided by iDQ, a data quality pipeline that infers the presence of short-duration transient noise in gravitational-wave data using the interferometer's auxiliary state, which has operated in near real-time since before LIGO's first observing run in 2015. We look at the performance and impact on noise rejection by the inclusion of iDQ information in GstLAL's ranking statistic, and discuss GstLAL results in the GWTC-2 catalog, focusing on two case studies; GW190424A, a single-detector gravitational-wave event found by GstLAL and a period of time in Livingston impacted by a thunderstorm.<br />Comment: 8 pages, 5 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2010.15282
Document Type :
Working Paper